Collecting and challenging needs by engaging with business teams (Finance, Marketing, Operations)
Leveraging synergies between Data Engineering, Analytics Engineering, Data Science, and Data Analysis
Developing the roadmap for Data Engineers
Defining requirements, prioritizing tasks, and providing support for root cause analysis
Communicating on development progress
Defining data exchange standards with providers
Validating the quality of specific code/scripts
Reducing latency between data creation and its availability on dashboards
Evaluating pipelines, test datasets, and performance metrics for LLM/AI quality
Drafting business analysis deliverables: cost/revenue management, acquisition channels, conversion funnels, 360° customer vision
Organizing project management for complex projects

Requirements

Engineering student with a strong business appetite
Ideally a first internship experience in a similar role
Passionate about data and digital with a very strong business sense
Excellent communication skills (written/oral) and ability to simplify complex systems
Solid project management skills
Fluent in English ; French or Spanish is a plus
Proficiency in SQL
Knowledge of Python and dbt is a plus

Benefits

Evolve in an international and inclusive environment
Competitive compensation for your internship
Access to various partner services (restaurants, wellness centers, mobility...)
Healthy and balanced breakfast offered every Tuesday
Support for career development throughout the internship
1 day of remote work per week

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

SQLPythondbtdata engineeringdata analysisdata scienceanalytics engineeringroot cause analysisperformance metricsdata exchange standards

Soft Skills

communication skillsproject managementbusiness analysissimplifying complex systemscollaborationproblem-solvingorganizational skillsbusiness appetitepassion for dataadaptability